Data Management in Python
DATA301
Description
This course focuses on the principles and practices of environmental data management and visualization using Python. Students will learn the nature and characteristics of different types of environmental data, important considerations about interpretation, and the qualities of good data presentation. They will also learn how to handle, process, and analyze large datasets efficiently. The course covers essential data management techniques, including data cleaning, transformation, storage, retrieval, analysis, and visualization. Emphasis is placed on practical applications and the use of Python libraries such as Pandas, NumPy, and SQLAlchemy to manage data workflows.
Pre Reqs:
CIST 101 Introduction to Coding for Environmental Applications
MATH 201 Statistics for Environmental Professionals
Dates
May 18, 2026 — Jun 21, 2026
Location
Distance Education - Online
Registration Information
For credit cost: $1410
